How to Use the Senar.io MCP in CrewAI

Build autonomous security crews with CrewAI by connecting them to the Senar.io MCP server.

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…and any MCP-compatible client

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Connect Senar.io MCP to CrewAI

Create your Vinkius account to connect Senar.io to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Senar.io with CrewAI

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Autonomous security teams using CrewAI

Assign a researcher agent to watch `get_activity_data` while a moderator agent stands ready to act. If the researcher finds a threat, it alerts the moderator to run `create_user_and_assign`. You create a specialized team that handles the entire incident lifecycle. The agents share context to make faster decisions than a single bot.

Deep dive analysis with CrewAI

Deploy an analyst agent to iterate through `list_collections` and `get_collection_details`. This allows your crew to correlate current threats against historical simulator data. Agents pull deep context before making a move. It ensures your response is accurate and based on the full scope of the available data.

Track investigation progress in CrewAI

Keep your team updated by having an agent call `get_progress` regularly. This keeps your crew focused on open issues rather than completed tasks. Use `get_user_details` to verify credentials before your agents take any action. Your crew operates with specific, role-based authority.

Setup guide

Set up Senar.io MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Senar.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Senar.io Analyst",
    goal="Access and analyze Senar.io data via MCP.",
    backstory="Expert analyst with direct Senar.io access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Senar.io transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Senar.io Analyst",
        goal="Access and analyze Senar.io data via MCP.",
        backstory="Expert analyst with direct Senar.io access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Senar.io transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Senar.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Senar.io MCP in CrewAI

Add the server URL to the mcps array in your agent definition. CrewAI will handle the connection and expose the tools to your crew members.

Yes. Agents share the context provided by the server, allowing them to collaborate on incident response. They work as a unified unit.

It does. You can restrict which agents have access to sensitive tools like `create_user_and_assign`. This enforces clear boundaries within your crew.

The server provides the data that feeds into your crew's shared memory. This allows agents to recall previous session logs during an ongoing investigation.

The server provides user session IDs, activity logs, and progress metrics. Your crew uses this to identify and mitigate risks to your organization.

Use it with your favorite AI tools

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